We consider the problem of jet-tagging[1]}, [2]}, [3]}, in which the goal is to discriminate between various types of hadronic decays based on the detailed structure of energy and tracking measurements from the detector.
Hadronic jets are the most abundant products of proton collisions at the LHC and are formed when energetic quarks or gluons fragment recursively into lower-energy quarks and gluons until stable particles form, a process known as hadronization.
These particles are then observed by the particle detector.
Experimentally, jets are defined by a specific clustering algorithm[4]} which groups together energy deposits localized within a certain angular scale set by a chosen radius parameter.
Jets can be initiated directly from hard QCD processes as well as rare particle decays[5]}, [6]}, [7]}, [8]}.
The exceedingly large QCD cross sections often lead to a scenario where the rate of background jets overwhelms the signal of interest.
